DocumentCode :
768278
Title :
Orthogonal, exactly periodic subspace decomposition
Author :
Muresan, D. Darian ; Parks, Thomas W.
Author_Institution :
Digital Multi-Media Design, Arlington, VA, USA
Volume :
51
Issue :
9
fYear :
2003
Firstpage :
2270
Lastpage :
2279
Abstract :
The detection and estimation of machine vibration multiperiodic signals of unknown periods in white Gaussian noise is investigated. New estimates for the subsignals (signals making up the received signal) and their periods are derived using an orthogonal subspace decomposition approach. The concept of exactly periodic signals is introduced. This in turn simplifies and enhances the understanding of periodic signals.
Keywords :
Gaussian noise; acoustic signal detection; parameter estimation; vibration measurement; white noise; General Motors gear box; exactly periodic signals; exactly periodic subspace decomposition; machine vibration multiperiodic signals; multiperiodic signal detection; multiperiodic signal estimation; orthogonal subspace decomposition; received signal; signal processing; subsignals; synthetic signals; vibration data signals; white Gaussian noise; Filters; Gaussian noise; Helium; Interference; Matrices; Rhythm; Signal analysis; Signal processing; Signal processing algorithms; Signal resolution;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2003.815381
Filename :
1223539
Link To Document :
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